The Mathematics of Data (Hardcover)

Data science is a highly interdisciplinary field, incorporating ideas from applied mathematics, statistics, probability, and computer science, as well as many other areas. This book gives an introduction to the mathematical methods that form the foundations of machine learning and data science, presented by leading experts in computer science, statistics, and applied mathematics. Although the chapters can be read independently, they are designed to be read together as they lay out algorithmic, statistical, and numerical approaches in diverse but complementary ways. This book can be used both as a text for advanced undergraduate and beginning graduate courses, and as a survey for researchers interested in understanding how applied mathematics broadly defined is being used in data science. It will appeal to anyone interested in the interdisciplinary foundations of machine learning and data science.

General

Imprint:	American Mathematical Society
Country of origin:	United States
Series:	IAS/Park City Mathematics Series
Release date:	November 2018
Editors:	Michael W. Mahoney • John C. Duchi • Anna C. Gilbert
Dimensions:	254 x 178mm (L x W)
Format:	Hardcover
Pages:	325
ISBN-13:	978-1-4704-3575-2
Categories:	Books > Computing & IT > General Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	1-4704-3575-6
Barcode:	9781470435752

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!